Applying mixed Gaussian skin models to the automatic face detection

Jianfeng Ren, Lei Quo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

How to detect faces in complex color images is still a challenging problem. We propose an automatic face detection algorithm which consists of five stages: mixed skin model, iterative threshold algorithm, morphological operation, region growing and shape and size restraint. Of these stages, the skin model here we established is based on the mixed Gaussian distributions on two different color spaces, which achieves better results than other methods. Experimental results show that our algorithm can work very well in the color images which are frontal, side and tiled under varying conditions and complex backgrounds.

Original languageEnglish
Title of host publicationMachine Learning for Signal Processing XIV - Proceedings of 2004 IEEE Signal Processing Society Workshop
EditorsA. Barros, J. Principe, J. Larsen, T. Adali, S. Douglas
Pages599-608
Number of pages10
StatePublished - 2004
EventMachine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop - Sao Luis, Brazil
Duration: 29 Sep 20041 Oct 2004

Publication series

NameMachine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop

Conference

ConferenceMachine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop
Country/TerritoryBrazil
CitySao Luis
Period29/09/041/10/04

Keywords

  • Color image
  • Face detection
  • Morphological operation
  • Region growing

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